12 Sections
15 Lessons
4 Weeks
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Introduction to AutoGPT Agents
1
1.1
Overview of AutoGPT autonomous agents, capabilities, applications, and workflow design.
Setting Up Your AutoGPT Workspace
1
2.1
Framework setup, environment configuration, and project templates.
Understanding AutoGPT Agent Architecture
1
3.1
How agents process input, maintain context, generate outputs, and interact with external tools.
Prompt Engineering Essentials
1
4.1
Designing effective prompts, context framing, multi-step instructions, and controlling outputs.
Building Your First AutoGPT Agent
1
5.1
Step-by-step creation, task configuration, testing, and initial deployment.
API & Tool Integration
1
6.1
Connect AI agents to external services: email, databases, websites, and APIs.
Automating Multi-Step Workflows
1
7.1
Chaining actions, task decomposition, agent loops, and autonomous execution.
Agent Memory & Knowledge Management
1
8.1
Using embeddings, vector stores, and memory to store context and make intelligent decisions.
Debugging & Optimizing Agents
1
9.1
Performance tuning, error handling, monitoring logs, and improving agent outputs.
Advanced Customization & Multi-Agent Systems
1
10.1
Creating multiple agents, role-based task allocation, and collaboration between agents.
Real-World Autonomous AI Projects
4
11.1
A workflow automation AutoGPT agent
11.2
A research & summarization agent
11.3
A business process automation agent
11.4
An integrated multi-tool AutoGPT AI agent
Final Assessment & Certification
1
12.1
Project submission, practical evaluation, viva on AI agent design & workflow, and certification.
AutoGPT Autonomous Agent Mastery – Build, Deploy & Automate AI Agents
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